These 5 AI-proof skills are likely to increase in value
B2/C1 reading-comprehension lesson based on a shortened version of a CNBC Make It article. Practise reading for main ideas, detail, advanced vocabulary, reduced relative clauses and critical thinking.
Future of workAI-proof skillsB2/C1
Before you read
AI is changing the workplace, but some human skills may become more valuable rather than less important. This lesson explores which skills are likely to stay useful as technology improves.
Warm-up questions
Discuss these questions with a partner.
1. Which workplace skills do you think AI can copy easily?
2. Which skills still need human judgement, trust or leadership?
3. How could students or professionals prepare for an AI-shaped job market?
Image from the uploaded CNBC article.
Article information
Original article: “These 5 skills are AI-proof and likely to become more valuable over the next 5 years”
Read the shortened text. Then complete the comprehension exercise.
The rapid development of artificial intelligence has made many workers wonder which abilities will still matter in the future. Career expert Benjamin Todd argues that some skills are more resistant to automation because they are transferable, human-centred and useful across many types of work.
The first important area is communication. AI can produce content quickly, but people still need to decide what should be created, how it should be framed and whether the final result is good enough. In this sense, judgement about quality may become more important than simply producing more material.
The second area is social skill. Even if AI becomes more powerful, most jobs still involve working with other people. Building rapport, understanding what others want, recognising emotions and resolving conflict are likely to remain valuable because workplaces depend on trust and cooperation.
The third area is leadership and decision-making. As AI automates routine tasks such as organising information or preparing basic drafts, the key question becomes what is worth doing in the first place. People able to set priorities, guide teams and make responsible decisions may become harder to replace.
The fourth area is operations management. AI may reduce some administrative work, but organisations still need people responsible for coordinating complex projects, solving interpersonal problems and keeping work on track as teams grow.
Finally, Todd recommends developing AI-implementation skills. This means using AI tools to do real work, understanding their strengths and weaknesses, writing clear instructions, checking for errors and knowing when human review is necessary.
The article does not suggest that technology should be ignored. Instead, it suggests that workers should combine technical awareness with skills that depend on judgement, relationships and responsibility. In an AI-shaped workplace, the most valuable people may be those able to work with technology while still offering the human insight machines cannot fully provide.
Exercise 1: Open comprehension questions
1. Why are some skills described as more resistant to automation?
2. According to the text, why is communication still important when AI can create content quickly?
3. Why are social skills likely to remain valuable?
4. How does AI make leadership and decision-making more important?
5. What does operations management involve?
6. What does it mean to develop AI-implementation skills?
